Risk Posture vs. Decision Provenance — What Could Go Wrong vs. Proof of What Actually Happened
Holistic AI tells you what could go wrong with your AI systems — risk posture, EU AI Act readiness, AI inventory audits. Mala proves what actually happened — a cryptographically sealed decision trace at execution time. Holistic AI is forward-looking risk management. Mala is backward-provable decision accountability. Both are necessary.
Holistic AI is a strong player in AI risk posture management: AI system inventories, risk tiering under EU AI Act, fairness and bias evaluations, and third-party AI audits. If you need to understand your organization's aggregate AI risk exposure and demonstrate EU AI Act readiness before the August 2026 deadline, Holistic AI's assessment tools are valuable. But risk posture management answers a different question than decision accountability. Holistic AI answers: 'What is our AI risk profile? Are we compliant at the program level?' Mala answers: 'What did this AI agent decide on Tuesday at 3:47 PM, why did it decide that, which policy applied, and here is the tamper-proof cryptographic proof — sealed at the moment it happened.' For regulated industries, both questions are required. A bank being audited by a federal regulator doesn't just need to show they have an AI governance program (Holistic AI's domain). They need to produce decision-level evidence: a sealed, timestamped audit trail showing that each individual AI credit decision followed the approved policy at execution time. That's Mala's domain. The critical distinction is timing. Risk posture management is periodic and forward-looking (assessments, readiness reviews, risk scoring). Decision provenance is continuous and backward-provable (sealed trace for every output, immediately available for any decision ever made). Use Holistic AI to manage your AI risk program and prove readiness. Use Mala to generate the runtime decision certificates that make that readiness provable at the individual decision level.
Does Mala replace Holistic AI?
No. Holistic AI manages your AI risk posture — the forward-looking program that identifies AI system risk, tiers it under EU AI Act, and helps you demonstrate readiness. Mala generates backward-provable decision accountability — sealed runtime evidence of what each AI agent actually decided. You need both: the risk program (Holistic AI) and the decision proof (Mala).
What is AI decision provenance?
Decision provenance is the complete, tamper-proof record of an AI decision: the input context, the reasoning chain, the policy that applied, the output, whether human oversight was triggered, and a cryptographic integrity seal proving the record hasn't been altered. Mala generates this automatically for every agent decision, creating a queryable system-of-record for all AI decisions ever made.
How does Mala help with EU AI Act Article 19 compliance?
EU AI Act Article 19 requires high-risk AI systems to maintain logs of operation sufficient for post-market monitoring. Mala's sealed decision traces directly satisfy this requirement: they are automatically generated, timestamped, tamper-evident, and retained in a queryable system. Unlike periodic audit reports, Mala's logs are created at execution time for every decision — exactly what Article 19 contemplates.
Don't just monitor what happened. Prove why it happened with Mala's cryptographic accountability layer.